code: def change_column_names(self, df, column_name):
      new_columns_names = {}
      col_array = []
      for i in list(df.columns):
          new_columns_names[i] = column_name + "_" + str(i)
          col_array.append(column_name + "_" + str(i))
      return new_columns_names, col_array
  
file_path: explainx/lib/encode_decode_cat_col.py
imports: from imports import *
  from sklearn.preprocessing import OneHotEncoder
  import numpy
label_desc: Use image node_id 6 for calling the encode_decode_cat_col obj's underlying member method code with example usage: obj.change_column_names(df, column_name) and returns: new_columns_names,  col_array